Literature DB >> 22553028

The control of locomotor frequency by excitation and inhibition.

Wen-Chang Li1, Peter R Moult.   

Abstract

Every type of neural rhythm has its own operational range of frequency. Neuronal mechanisms underlying rhythms at different frequencies, however, are poorly understood. We use a simple aquatic vertebrate, the two-day-old Xenopus tadpole, to investigate how the brainstem and spinal circuits generate swimming rhythms of different speeds. We first determined that the basic motor output pattern was not altered with varying swimming frequencies. The firing reliability of different types of rhythmic neuron involved in swimming was then analyzed. The results showed that there was a drop in the firing reliability in some inhibitory interneurons when fictive swimming slowed. We have recently established that premotor excitatory interneurons [descending interneurons (dINs)] are critical in rhythmically driving activity in the swimming circuit. Voltage-clamp recordings from dINs showed higher frequency swimming correlated with stronger background excitation and phasic inhibition, but did not correlate with phasic excitation. Two parallel mechanisms have been proposed for tadpole swimming maintenance: postinhibition rebound firing and NMDAR-dependent pacemaker firing in dINs. Rebound tests in dINs in this study showed that greater background depolarization and phasic inhibition led to faster rebound firing. Higher depolarization was previously shown to accelerate dIN pacemaker firing in the presence of NMDA. Here we show that enhancing dIN background excitation during swimming speeds up fictive swimming frequency while weakening phasic inhibition without changing background excitation slows down swimming rhythms. We conclude that both strong background excitation and phasic inhibition can promote faster tadpole swimming.

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Year:  2012        PMID: 22553028      PMCID: PMC3351984          DOI: 10.1523/JNEUROSCI.6289-11.2012

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  55 in total

Review 1.  Sleep, epilepsy and thalamic reticular inhibitory neurons.

Authors:  Mircea Steriade
Journal:  Trends Neurosci       Date:  2005-06       Impact factor: 13.837

2.  Grading movement strength by changes in firing intensity versus recruitment of spinal interneurons.

Authors:  Dimple H Bhatt; David L McLean; Melina E Hale; Joseph R Fetcho
Journal:  Neuron       Date:  2007-01-04       Impact factor: 17.173

3.  V1 spinal neurons regulate the speed of vertebrate locomotor outputs.

Authors:  Simon Gosgnach; Guillermo M Lanuza; Simon J B Butt; Harald Saueressig; Ying Zhang; Tomoko Velasquez; Dieter Riethmacher; Edward M Callaway; Ole Kiehn; Martyn Goulding
Journal:  Nature       Date:  2006-03-09       Impact factor: 49.962

Review 4.  The intrinsic electrophysiological properties of mammalian neurons: insights into central nervous system function.

Authors:  R R Llinás
Journal:  Science       Date:  1988-12-23       Impact factor: 47.728

5.  Subthreshold Na+-dependent theta-like rhythmicity in stellate cells of entorhinal cortex layer II.

Authors:  A Alonso; R R Llinás
Journal:  Nature       Date:  1989-11-09       Impact factor: 49.962

6.  Voltage-dependent block by Mg2+ of NMDA responses in spinal cord neurones.

Authors:  M L Mayer; G L Westbrook; P B Guthrie
Journal:  Nature       Date:  1984 May 17-23       Impact factor: 49.962

7.  Glutamatergic mechanisms for speed control and network operation in the rodent locomotor CpG.

Authors:  Adolfo E Talpalar; Ole Kiehn
Journal:  Front Neural Circuits       Date:  2010-08-06       Impact factor: 3.492

8.  Calcium-dependent potassium channels play a critical role for burst termination in the locomotor network in lamprey.

Authors:  A el Manira; J Tegnér; S Grillner
Journal:  J Neurophysiol       Date:  1994-10       Impact factor: 2.714

9.  N-Methyl-D-aspartate (NMDA), kainate and quisqualate receptors and the generation of fictive locomotion in the lamprey spinal cord.

Authors:  L Brodin; S Grillner; C M Rovainen
Journal:  Brain Res       Date:  1985-01-28       Impact factor: 3.252

10.  Specific brainstem neurons switch each other into pacemaker mode to drive movement by activating NMDA receptors.

Authors:  Wen-Chang Li; Alan Roberts; Stephen R Soffe
Journal:  J Neurosci       Date:  2010-12-08       Impact factor: 6.167

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  27 in total

1.  Rebound from Inhibition: Self-Correction against Neurodegeneration?

Authors:  Shobhana Sivaramakrishnan; William P Lynch
Journal:  J Clin Cell Immunol       Date:  2017-03-13

2.  Systematic shifts in the balance of excitation and inhibition coordinate the activity of axial motor pools at different speeds of locomotion.

Authors:  Sandeep Kishore; Martha W Bagnall; David L McLean
Journal:  J Neurosci       Date:  2014-10-15       Impact factor: 6.167

3.  Decoding the rules of recruitment of excitatory interneurons in the adult zebrafish locomotor network.

Authors:  Jessica Ausborn; Riyadh Mahmood; Abdeljabbar El Manira
Journal:  Proc Natl Acad Sci U S A       Date:  2012-12-11       Impact factor: 11.205

4.  Phasic inhibition as a mechanism for generation of rapid respiratory rhythms.

Authors:  Jared M Cregg; Kevin A Chu; Thomas E Dick; Lynn T Landmesser; Jerry Silver
Journal:  Proc Natl Acad Sci U S A       Date:  2017-11-13       Impact factor: 11.205

5.  Premotor Neuron Divergence Reflects Vocal Evolution.

Authors:  Charlotte L Barkan; Darcy B Kelley; Erik Zornik
Journal:  J Neurosci       Date:  2018-05-21       Impact factor: 6.167

6.  Selective Gating of Neuronal Activity by Intrinsic Properties in Distinct Motor Rhythms.

Authors:  Wen-Chang Li
Journal:  J Neurosci       Date:  2015-07-08       Impact factor: 6.167

7.  The central pattern generator underlying swimming in Dendronotus iris: a simple half-center network oscillator with a twist.

Authors:  Akira Sakurai; Paul S Katz
Journal:  J Neurophysiol       Date:  2016-07-20       Impact factor: 2.714

Review 8.  And yet it moves: Recovery of volitional control after spinal cord injury.

Authors:  G Taccola; D Sayenko; P Gad; Y Gerasimenko; V R Edgerton
Journal:  Prog Neurobiol       Date:  2017-11-02       Impact factor: 11.685

9.  Behavioral observation of Xenopus tadpole swimming for neuroscience labs.

Authors:  Wen-Chang Li; Monica Wagner; Nicola J Porter
Journal:  J Undergrad Neurosci Educ       Date:  2014-03-15

10.  The generation of antiphase oscillations and synchrony by a rebound-based vertebrate central pattern generator.

Authors:  Wen-Chang Li; Robert Merrison-Hort; Hong-Yan Zhang; Roman Borisyuk
Journal:  J Neurosci       Date:  2014-04-23       Impact factor: 6.167

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